Etiology, Biological Characteristics, and Fungicide Sensitivity of Bipolaris sorokiniana Causing Root Rot in Wild Orchardgrass (Dactylis glomerata L.)

Abstract

Dactylis glomerata is a globally important cool-season forage grass with high ecological and economic value. During field surveys conducted in three counties of the Ili region of Xinjiang, Zhaosu County, Tekes County, and Xinyuan County, a previously unreported root rot disease was observed on wild orchardgrass, with disease incidence ranging from 20% to 72%. The most severe symptoms were recorded in Zhaosu County. The pathogen was isolated and identified as Bipolaris sorokiniana based on morphological characteristics and multilocus phylogenetic analyses of ITS, GAPDH, and TEF gene sequences. The results of biological characteristics showed that the optimal conditions for mycelial growth were 25 °C, pH 7, continuous light for 24 h, potato sucrose agar (PSA) as the culture medium, soluble starch as the optimal carbon source, and peptone as the optimal nitrogen source. In vitro fungicide sensitivity assays indicated that all nine tested fungicides significantly inhibited mycelial growth of B. sorokiniana. Among them, difenoconazole exhibited the highest inhibitory activity, with an EC₅₀ value of 0.0706 mg·L⁻¹, followed by tebuconazole (EC₅₀ = 0.3606 mg·L⁻¹) and tetramycin (EC₅₀ = 0.6815 mg·L⁻¹). These findings provide a scientific basis for further studies on disease epidemiology, pathogenic mechanisms, and integrated management of this disease.

1. Introduction

Orchardgrass (Dactylis glomerata L.) is a perennial herbaceous species belonging to the genus Dactylis within the family Poaceae. Wild orchardgrass originated in temperate regions of Europe, North Africa, and Asia and is now widely distributed along forest margins, shrublands, and montane grasslands throughout temperate zones worldwide. It is recognized as one of the most important cool-season forage grasses globally [1]. Following more than 200 years of domestication and cultivation, orchardgrass has become a high-yielding and high-quality cultivated forage due to its high protein and lipid contents and excellent palatability [2]. Orchardgrass exhibits strong adaptability and stress tolerance, including resistance to drought, heat, poor soils, and shade. Moreover, it is particularly suitable for ecological restoration programs such as conversion of cropland to forest or grassland, establishment of agroforestry systems, and grassland reseeding, thereby playing a critical role in global agricultural production and ecological rehabilitation [2,3].

China is one of the major production regions of orchardgrass worldwide, with a wide distribution range. Among these regions, Xinjiang is an important production area where orchardgrass is extensively distributed along forest margins of the Tianshan Mountains and dominates montane grasslands at elevations of 1000–3000 m [4].

However, during orchardgrass growth, various diseases frequently occur and seriously affect forage yield and quality. Among these, rust disease is the most extensively studied [5,6], followed by smut disease [7], zonate leaf spot [8], root rot [9], and bacterial leaf streak [10]. Fulcher et al. [9] identified Fusarium graminearum as the causal agent of orchardgrass root rot from wild plants collected in Essex County, New York, USA. Root rot is highly destructive to plant health, as it damages the normal structure and function of roots, leading to water and nutrient deficiency in aerial tissues. Affected plants typically exhibit stunted growth, reduced plant height, leaf yellowing and curling, and, in severe cases, plant death. In forage crop research, root rot diseases of cultivated forages such as alfalfa, clover, and sainfoin [11,12]. Root rot can cause damage at all stages of pasture growth, leading to poor establishment, reduced yield, diminished nitrogen fixation capacity, and shortened grassland longevity and utilization period [12]. Particularly alfalfa have been extensively investigated, whereas studies on root rot of wild forage species remain limited and are mostly restricted to pathogen identification. Bipolaris sorokiniana is known to infect a wide range of plant species, including orchardgrass [13].

During field surveys conducted from May to August in both 2024 and 2025, root rot symptoms characterized by dark brown to black necrosis of roots accompanied by leaf blight and plant dieback were consistently observed on wild orchardgrass plants in multiple townships of the Ili region of Xinjiang. To date, no studies have reported orchardgrass root rot in Xinjiang. Therefore, the present study aimed to identify the causal pathogen through morphological and molecular analyses, verify its pathogenicity, characterize its biological traits, and screen effective fungicides under laboratory conditions. The results provide a theoretical basis for future studies on disease epidemiology, pathogenic mechanisms, and integrated management strategies for orchardgrass root rot.

2. Materials and Methods

2.1. Disease Survey and Sample Collection

In 2025, from May to August, field surveys were conducted on mountain slopes, forest margins, and natural grasslands in the Ili region of Xinjiang, specifically in Zhaosu County (latitude ranging from 42°48′52.44″ N to 43°09′49.83″ N, longitude from 80°47′37.23″ E to 81°16′49.49″ E), Xinyuan County (latitude from 43°13′01.16″ N to 43°25′29.34″ N, longitude from 83°23′09.70″ E to 83°56′28.23″ E), and Tekes County (latitude from 42°55′27.40″ N to 42°59′39.38″ N, longitude from 81°56′14.62″ E to 82°07′11.68″ E). In each township three plots were established; within each plot three 1 m $\times$ 1 m quadrats were sampled at random to record disease incidence. Symptomatic plants were photographed and GPS and collection metadata recorded. Diseased samples were collected and transported to the laboratory for isolation and further analysis.

Disease incidence was calculated as:

$$\mathrm{Disease}\mathrm{incidence}={\displaystyle \frac{\mathrm{Number}\mathrm{of}\mathrm{diseased}\mathrm{plants}}{\mathrm{Total}\mathrm{number}\mathrm{of}\mathrm{plants}\mathrm{surveyed}}}\times 100\%$$

2.2. Pathogen Isolation and Morphological Identification

Pathogens were isolated using tissue isolation. Root samples were washed with running water, and 3 mm pieces were excised from the margin between diseased and healthy tissue. Tissue pieces were surface-sterilized in 75% ethanol for 30 s, rinsed in 2% sodium hypochlorite for 3 min, washed three times in sterile distilled water, blotted dry on sterile filter paper, and placed on PDA (60 mm diameter) plates. Plates were incubated at 25 °C in the dark for 5 days. To obtain pure cultures, single-spore isolation was performed. A spore suspension was prepared from sporulating colonies and diluted to an appropriate concentration (approx. 10–20 spores/µL). Small drops (0.5–1 µL) of the suspension were placed on water agar and examined under a microscope; agar plugs containing a single germinated conidium were excised and transferred to fresh PDA plates [14]. Purified strains were stored in 20% glycerol at −80 °C.

For morphological observation, isolates were activated on PDA at 25 °C for 5–7 days. Colony characteristics (color, texture, radial growth) were recorded. Conidiophores and conidia were observed and measured (n = 30) under a Nikon microscope (Nikon Corporation, Tokyo, Japan; model ECLIPSE Ni-U). Measurements included conidiophore length and conidial size. Morphological identification followed descriptions in references [15,16,17].

2.3. Molecular Identification

Genomic DNA was extracted from fresh mycelium using a fungal genomic DNA extraction kit (Tiangen Biotech, Beijing, China) according to the manufacturer’s instructions. Three loci were amplified for molecular identification: ITS (primers ITS1/ITS4), GAPDH (primers GDF1/GDR1), and TEF (primers EF1-728F/EF1-986R) [18,19,20]. PCR reactions (25 µL total volume) contained 12.5 µL Taq Master Mix, 1.0 µL of each primer (forward and reverse), 1.0 µL DNA template, and sterile ultrapure water to 25 µL [18]. PCR cycling conditions were: initial denaturation at 94 °C for 5 min; 35 cycles of 94 °C for 40 s, 58 °C for 40 s, and 72 °C for 30 s; and a final extension at 72 °C for 7 min. PCR products were checked by electrophoresis on 2% agarose gel and Sanger-sequenced by Shanghai Bioengineering Co., Ltd. (Shanghai, China). The sequencing results were assembled using DNAMAN software (version 6.0, Lynnon Biosoft, San Ramon, CA, USA). Homology alignment was performed using BLAST n (version 2.15.0+, National Center for Biotechnology Information, Bethesda, MD, USA) against the NCBI database (retrieved on January 2026). Different gene fragments of homologous strains were aligned and trimmed using PhyloSuite v1.2.1 (available at https://github.com/dongzhang0725/PhyloSuite, accessed on 27 February 2026) software. A phylogenetic tree was constructed using the Maximum Likelihood method in MEGA 11 (Mega Limited, Auckland, New Zealand), and branch support was assessed with 1000 bootstrap replicates. In addition, MEGA 11 was used for tree visualization and further evolutionary analysis [21].

2.4. Pathogenicity Tests

Orchardgrass plants were grown from seeds. Seeds were surface-sterilized with 75% ethanol for 30 s, rinsed three times with sterile distilled water, and sown in sterilized potting soil. Plants were maintained under greenhouse conditions at 20–25 °C for 45 days, and then used for pathogenicity assays. For inoculation, plants were immersed in a conidial suspension (1 × 10⁶ spores·mL⁻¹) for 15 min. After transplanting, 15 mL of the same suspension was applied as a soil drench to each pot. Control plants were treated with sterile water using the same immersion and drench methods. Each treatment consisted of three replicate pots, with five plants per pot. Disease development was assessed 15 days post-inoculation. To fulfill Koch’s postulates [11], re-isolation was performed from symptomatic roots, and the morphological characteristics of the re-isolated strains were compared with those of the original inoculum.

2.5. Biological Characteristics of the Pathogen

Mycelial plugs (5 mm diameter) were taken from the actively growing margin of 5- to 7-day-old colonies and placed mycelium-side down at the center of test plates. Plates were incubated for 5 days under the following conditions:

Temperature: 5, 10, 15, 20, 25, 30, and 35 °C.

pH: media adjusted to pH 4, 5, 6, 7, 8, 9, 10 and 11 using 1 M HCl or 1 M NaOH.

Light regime: continuous light (24 h), 12 h light/12 h dark, and continuous dark (24 h).

Culture media: PDA, PSA, PCA, WA, CA, CMA and Czapek agar (see

Table 1. Formulation of test media.

Medium	Formula
Potato dextrose agar (PDA)	Potato 200 g, glucose 20 g, agar 17 g, distilled water 1000 mL
Potato carrot agar (PCA)	Potato 20 g, carrot 20 g, agar 17 g, distilled water 1000 mL
Potato sucrose agar (PSA)	Potato 200 g, sucrose 20 g, agar 17 g, distilled water 1000 mL
Oatmeal agar (OMA)	Oatmeal 30 g, agar 17 g, distilled water 1000 mL
Cornmeal agar (CMA)	Cornmeal 30 g, agar 17 g, distilled water 1000 mL
Water agar (WA)	Agar 17 g, distilled water 1000 mL
Carrot agar (CA)	Carrot 200 g, agar 17 g, distilled water 1000 mL
Czapek agar	NaNO3 2 g, K2HPO4 1 g, KCl 1 g, MgSO4·7H2O 0.5 g, FeSO4·7H2O 0.01 g, sucrose 30 g, agar 20 g, distilled water 1000 mL

for composition).

Carbon and nitrogen sources: Czapek medium was used as the basal medium. Carbon sources tested (substituted on an equal-carbon basis) were soluble starch, glucose, lactose, mannitol, inulin, maltose and D-fructose; a no-carbon control (basal medium without added carbon) was included. Nitrogen sources tested (substituted on an equal-nitrogen basis) were ammonium sulfate, yeast extract, yeast paste, urea, potassium nitrate, beef extract and peptone; a no-nitrogen control (basal medium without added nitrogen) was included.

Each treatment had three replicates and colony diameter was measured using the crossed-line method. All data were recorded as mean colony diameters (mm) ± standard deviation. Except for the experiments on temperature and light conditions, all other experiments under different culture conditions were incubated at a constant temperature of 25 °C under natural light.

2.6. In Vitro Fungicide Sensitivity Assays

The inhibitory activity of fungicides against the pathogen was evaluated using the mycelial growth rate method [22]. Under aseptic conditions, stock solutions of the tested fungicides were diluted to seven concentration gradients for preliminary experiments to determine the optimal concentration range. Based on the preliminary results, five concentration gradients were established for each fungicide and incorporated into PDA to prepare amended media (

Table 2. Test fungicides and their related information.

Fungicide (Active Ingredient, Formulation)	Manufacturer (City, Country)	Concentration (mg·L−1)
50% Carbendazim	Sichuan Runer Technology Co., Ltd. (Chengdu, China)	100, 50, 25, 12.5, 6.25
0.15% Tetramycin	Liaoning Micro Biotechnology Co., Ltd. (Shenyang, China)	40, 20, 10, 5, 2.5
25% Pyraclostrobin	Shandong Xiubang Biotechnology Co., Ltd. (Binzhou, China)	10, 5, 2.5, 1.25, 0.625
25% Difenoconazole	Shandong Heyi Biotechnology Co., Ltd. (Jinan, China)	10, 5, 2.5, 1.25, 0.625
430 g·L−1 Tebuconazole	Suzhou FMC Plant Protection Co., Ltd. (Suzhou, China)	10, 5, 2.5, 1.25, 0.625
500 g·L−1 Thiophanate-methyl	Jiangsu Rotam Chemistry Co., Ltd. (Kunshan, China)	10, 5, 2.5, 1.25, 0.625
30% Hymexazol	Jiangxi Heyi Chemical Co., Ltd. (Jiujiang, China)	5, 2.5, 1.25, 0.625, 0.3125
80% Ethylicin	Shandong Guihe Biotechnology Co., Ltd. (Linyi, China)	100, 50, 25, 12.5, 6.25
20% Eugenol	Jiangsu Sword Agrochemicals Co., Ltd. (Nantong, China)	10, 5, 2.5, 1.25, 0.625

). PDA without fungicides served as the control. A 5 mm-diameter mycelial plug taken from the actively growing margin of the colony was placed at the center of each plate. Each treatment consisted of three replicate plates, and the experiment was conducted once. Plates were incubated at 25 °C for 5 days, after which colony diameters were measured using the crossed-line method. The percentage inhibition of mycelial growth was calculated relative to the control. The inhibition rate for each fungicide concentration was determined. Using the logarithmic concentration (Log₁₀) as the independent variable and the probit value of the inhibition rate as the dependent variable, a toxicity regression line was fitted via Probit analysis using SPSS (version 25.0). The effective concentration for 50% inhibition (EC₅₀) and its 95% confidence interval were calculated. The coefficient of determination (R²) was used to evaluate the goodness-of-fit of the regression model.

$$\mathrm{Suppression}\mathrm{rate}={\displaystyle \frac{\mathrm{Diameter}\mathrm{of}\mathrm{Control}-\mathrm{diameter}\mathrm{of}\mathrm{treated}}{\mathrm{Diameter}\mathrm{of}\mathrm{Control}-\mathrm{diameter}\mathrm{of}\mathrm{the}\mathrm{plug}}}\times 100\%$$

2.7. Statistical Analysis

Microsoft Excel 2019 was used for data organization. The EC₅₀ values and corresponding toxicity regression equations were calculated using Probit regression analysis in SPSS 23.0 software, with logarithmic concentration (Log₁₀) as the covariate. Statistical analyses were performed using analysis of variance (ANOVA), and mean comparisons were conducted using the least significant difference (LSD) test at p < 0.05.

3. Results

3.1. Field Disease Symptoms

Root rot of orchardgrass initially caused poor plant vigor and stunting; symptomatic plants were markedly shorter than adjacent healthy individuals (Figure 1). Older leaves of affected plants showed chlorosis and necrosis; leaf margins and tips became brown and necrotic, leaves folded downward, and basal stems became brown and rotted. Belowground, root systems were reduced. At advanced stages, plants were visibly stunted and chlorotic, leaves browned and desiccated over large areas, stem bases became blackened, constricted and rotten, and severe cases resulted in wilting, collapse and plant death; roots exhibited extensive black-brown rot.

Field surveys conducted in the Ili region of Ili Kazakh Autonomous Prefecture (three counties) recorded disease incidences ranging from 20.00% to 71.32%. The highest incidence was recorded at Tügürqën Bulak stud farm in Zhaosu County (71.32%), and the lowest incidence was recorded in Tuerken Township, Xinyuan County (20.00%).

3.2. Morphological Identification

From 135 diseased orchardgrass plants sampled, 89 isolates were recovered and morphologically assigned to the genus Bipolaris. Among the 89 isolated strains, the YM1 strain was selected as the representative strain for detailed morphological description and subsequent experiments. After 7 days on PDA at 25 °C, colonies of YM1 were circular, gray-brown and felted. Conidiophores were olivaceous-brown, geniculate (bent at points), typically solitary and unbranched, 6–9 µm wide. Conidia were dark brown, ellipsoid to oblong, widest at the middle and tapered to rounded ends, with 4–7 transverse septa; conidial size ranged from 30.75 to 62.15 µm $\times$ 10.22 to 18.31 µm. Based on these morphological characters, the isolate was preliminarily identified as a Bipolaris species (Figure 2).

3.3. Molecular Identification and Phylogeny

PCR amplification of ITS, GAPDH and TEF from isolate YM1 produced fragments of ≈568 bp, 420 bp and 321 bp, respectively. A concatenated ITS–GAPDH–TEF maximum-likelihood tree (rooted with Alternaria alstroemeriae CBS 118808) placed YM1 in a strongly supported clade (99% bootstrap) with B. sorokiniana strain D245 (GenBank accessions: ITS PX671498, GAPDH PX879951, TEF PX879952; Figure 3). Combining morphological and multilocus molecular evidence, isolate YM1 was identified as B. sorokiniana.

3.4. Pathogenicity of Isolate YM1

Inoculated potted orchardgrass plants developed foliar chlorosis beginning at leaf tips by 15 days post-inoculation (dpi). Symptoms progressed with increasing foliar necrosis and desiccation; by 30 dpi stem-base tissues were brown and constricted, fine roots showed brown rot, and aerial parts displayed extensive leaf desiccation—closely resembling symptoms observed in the field. Water-treated wounded controls remained healthy at 30 dpi, with stem-base tissues remaining white and only occasional tip desiccation of older leaves. Re-isolation from symptomatic roots recovered a fungus morphologically identical to the inoculated YM1 strain, satisfying Koch’s postulates and confirming YM1 as the causal pathogen (Figure 4).

3.5. Biological Characteristics of YM1

YM1 grew at all tested temperatures (10–35 °C), but growth differed significantly among temperatures (p < 0.05). Maximum radial growth was observed at 25 °C (mean colony diameter 62.15 mm), with reduced growth at 20 °C and 30 °C, and very slow growth (colony diameter < 11 mm) at 10 °C. At 5 °C, mycelial growth is almost completely inhibited. (

Table 3. Effects of different culture conditions on mycelial growth of B. sorokiniana.

Test	Culture Condition	Colony Diameter/mm
Temperature (°C)	5	5.3 ± 0.08 f
	10	10.5 ± 1.06 e
	15	19.68 ± 0.21 d
	20	36.84 ± 1.18 c
	25	62.15 ± 0.73 a
	30	40.94 ± 0.83 b
	35	37.73 ± 0.72 c
pH	4	37.49 ± 1.68 e
	5	44.61 ± 2.73 c
	6	43.9 ± 0.49 c
	7	53.15 ± 0.71 a
	8	50.21 ± 0.58 b
	9	41.78 ± 1.28 d
	10	36.43 ± 0.14 e
	11	34.2 ± 0.89 f
Media	PSA	68.53 ± 0.46 a
	OMA	62.33 ± 1.16 b
	CA	53.49 ± 0.29 c
	PCA	48.25 ± 1.1 d
	Czapek	48.48 ± 0.34 d
	WA	46.42 ± 0.75 d
	CMA	54.85 ± 5.98 c
	PDA	62.54 ± 0.6 b
Light	24 h All light	34.68 ± 2.14 c
	24 h All dark	47.53 ± 1.33 a
	12 h Dark/Light	43.16 ± 0.32 b
carbon source	Soluble starch	58.43 ± 0.40 a
	Glucose	44.29 ± 2.74 cd
	Lactose	48.34 ± 0.30 bc
	Mannitol	48.47 ± 0.51 bc
	Inulin	49.93 ± 7.24 b
	Maltose	48.04 ± 1.06 bc
	D-Maltose	41.22 ± 2.82 d
nitrogen source	Ammonium sulfate	35.85 ± 0.85 f
	Yeast extract powder	45.22 ± 0.39 abc
	Yeast extract	45.36 ± 0.52 ab
	Urea	38.33 ± 2.07 e
	Potassium nitrate	40.59 ± 0.81 d
	Beef extract	43.66 ± 0.25 c
	Peptone	46.28 ± 0.58 a

All values are reported as mean ± SD. Different letters within columns in the corresponding tables indicate significant differences at p < 0.05.

). YM1 grew across pH 4–11, with colony diameters > 34 mm for all pH values tested. Growth was optimal under neutral to slightly alkaline conditions: the largest colony diameter occurred at pH 7 (53.15 mm), followed by pH 8 (50.21 mm). Growth on different media indicated that YM1 utilized all tested media well (colony diameter > 46 mm). The fastest mycelial growth occurred on PSA (68.53 mm), followed by PDA (62.54 mm) and OMA (62.33 mm). When Czapek medium carbon and nitrogen sources were substituted on an equal-element basis, soluble starch supported the greatest growth among carbon sources (58.43 mm), whereas D-fructose was the least favorable carbon source (41.22 mm). For nitrogen sources, peptone supported the best growth (46.28 mm) and ammonium sulfate the poorest (35.85 mm). Light regime affected growth: colonies were largest in continuous dark (47.53 mm), intermediate under 12 h light/12 h dark (43.16 mm), and smallest under continuous light (34.68 mm).

3.6. In Vitro Fungicide Sensitivity

All nine tested fungicides inhibited mycelial growth of YM1 to varying degrees (

Table 4. Toxicity assay of nine fungicides against B. sorokiniana on plates.

Fungicides	Colony Diameter (mm)	Antibacterial Efficacy Rate	Toxicity Regression Equation	R2	EC50 (mg·L−1)	95% Confidence Interval
50% Carbendazim	25.44	53.00	y = 1.7923x + 2.7708	0.9179	20.4080	13.149~28.311
	27.56	48.15
	28.35	46.32
	43.35	11.84
	47.65	1.95
0.15% Tetramycin	10.39	87.61	y = 0.6576x + 5.1095	0.9316	0.6815	0.25~1.179
	11.28	85.56
	16.45	73.67
	17.29	71.75
	19.83	65.91
25% Pyraclostrobin	22.55	59.67	y = 1.1942x + 3.9304	0.9685	7.8643	6.518~9.591
	31.98	37.97
	38.11	23.89
	41.23	16.72
	43.05	12.54
25% Difenoconazole	7.29	94.74	y = 0.7625x + 5.8776	0.9643	0.0706	0.022~0.149
	8.34	92.32
	9.54	89.56
	13.67	80.06
	14.74	77.61
430 g·L−1 Tebuconazole	6.41	96.76	y = 1.2488x + 5.5532	0.9844	0.3606	0.249~0.46
	9.10	90.58
	10.59	87.15
	16.38	73.84
	21.44	62.21
500 g·L−1 Thiophanate-Methyl	36.95	26.56	y = 1.7537x + 2.7646	0.9721	18.8225	16.056~28.702
	39.14	21.52
	46.15	5.40
	47.56	2.16
	48.45	0.31
30% Hymexazol	28.15	46.79	y = 1.6131x + 3.7758	0.9699	5.7400	4.887~7.165
	37.93	24.30
	40.05	19.42
	46.51	4.59
	47.54	2.20
80% Ethylicin	14.85	77.36	y = 1.9093x + 2.4992	0.9856	20.8310	18.465~22.104
	22.77	59.16
	33.31	34.91
	43.16	12.27
	45.29	7.38
20% Eugenol	25.13	53.73	y = 1.3971x + 3.5512	0.9517	10.8894	8.918~13.267
	38.13	23.85
	39.31	21.12
	44.73	8.33
	46.52	5.22

). Among them, 25% difenoconazole (EW) exhibited the strongest inhibitory activity (EC₅₀ = 0.0706 mg·L⁻¹). Tebuconazole (430 g·L⁻¹ SC) and 0.15% tetramycin (AS) also showed strong activity with EC₅₀ values of 0.3606 mg·L⁻¹ and 0.6815 mg·L⁻¹, respectively. Hymexazol (30% AS), pyraclostrobin (25% SC) and eugenol (20% EW) showed moderate activity with EC₅₀ values in the range of ~5–11 mg·L⁻¹. Thiophanate-methyl (500 g·L⁻¹ SC), carbendazim (50% WP) and ethylicin (80% EC) were the least effective, with EC₅₀ values in the ~18–21 mg·L⁻¹ range (Figure 5).

4. Discussion

Field surveys revealed that orchardgrass root rot occurred across mountain slopes, forest margins and natural grasslands in multiple locations of Xinjiang, and that incidence was generally higher in open grassland than under forest canopy. We hypothesize that this pattern reflects differences in microenvironmental water availability and host vigor: mixed forest–grass systems typically provide more stable moisture and shading that favor more vigorous orchardgrass growth and greater disease tolerance, whereas grassland sites are relatively drier and support weaker plants with reduced resistance. This hypothesis should be tested directly by correlating soil moisture and other abiotic variables with disease incidence in future field studies.

Combining morphological characters with multilocus phylogenetic analysis, we identified the causal pathogen of the orchardgrass root rot in this study as B. sorokiniana. The morphological characters observed here are consistent with previous descriptions of B. sorokiniana recovered from orchardgrass in Jilin Province [13], yet to our knowledge this is the first report of B. sorokiniana infecting wild orchardgrass in Xinjiang. B. sorokiniana has a broad host range spanning more than 30 plant families and is commonly associated with leaf blight diseases; however, it can infect roots and multiple other tissues on many hosts, including cereals, legumes and various woody taxa [13,23]. Notably, this pathogen is an important wheat pathogen that can infect multiple wheat organs throughout development, causing seedling blight, root rot, stem-base rot, foliar necrosis and reduced grain filling, and has been reported to cause yield losses approaching ~40% under severe epidemics [15,24]. The broad host range and potential for severe crop losses indicate that the detection of B. sorokiniana on orchardgrass expands the pathogen’s known ecological impact and highlights a possible phytosanitary risk for adjacent crops and vegetation.

Biological-characteristic assays showed that YM1 grew best at 25 °C and pH 7, with soluble starch and peptone supporting the most rapid mycelial expansion, and that growth was greater in darkness than under continuous light. These results largely agree with prior work on B. sorokiniana from wheat in Xinjiang [25] and from maize leaf-spot isolates [26], which report optimal growth in the mid-20 °C and neutral to slightly alkaline pH. Minor discrepancies among studies (e.g., some reports indicating optimal temperatures of 28–30 °C [27,28]) likely reflect intraspecific variability among isolates, host-associated adaptation or regional climatic differences; nevertheless, the general conclusion is that B. sorokiniana isolates tolerate and grow well across a broad temperate range (≈25–30 °C). Regarding media preference, our isolate grew well on PSA, PDA and OMA, consistent with previous reports that different isolates can show modestly different preferences for complex media [29]. These biological data provide a basis for predicting seasonal risk windows and for designing in vitro assays that approximate field conditions.

Laboratory fungicide assays showed that the tested fungicides—representing benzimidazoles, triazoles, strobilurins, organosulfur compounds, plant-derived phenolics and an antibiotic—exerted varying degrees of in vitro inhibition on YM1. Difenoconazole exhibited the strongest inhibitory effect (lowest EC₅₀), followed by tebuconazole and tetramycin, while thiophanate-methyl. Both difenoconazole and tebuconazole inhibit key enzymes involved in ergosterol biosynthesis, whereas tetramycin disrupts the structure of the cell wall and cell membrane [27,28,29,30,31]. Carbendazim and ethylicin were least effective. These results align with prior fungicide-screening studies on B. sorokiniana from wheat and other hosts [26,30]. Notably, tetramycin (a biologically derived antibiotic) demonstrated promising inhibitory activity, suggesting potential for integration into low-residue or “green” management strategies. However, in vitro sensitivity does not always predict field performance: systemic uptake, persistence in soil or plant tissue, application method, timing, and environmental conditions will influence control efficacy in situ. Therefore, the candidates that showed strong inhibitory activity in vitro (e.g., difenoconazole, tebuconazole, tetramycin) warrant further evaluation in controlled greenhouse and field trials to determine effective application rates, optimal timing, and potential non-target effects.

This study has several limitations that merit acknowledgement. First, surveys and sampling were geographically limited to several counties within the Ili region; broader geographic sampling would better define the current distribution and genetic diversity of B. sorokiniana on orchardgrass in Xinjiang and adjacent regions. Second, we relied on three loci (ITS, GAPDH, TEF) for molecular identification; although these loci are robust for species-level resolution in many taxa, population-level diversity, pathogenicity variation, and fungicide-resistance mechanisms would benefit from higher-resolution genotyping (e.g., microsatellites, multilocus sequence typing, or whole-genome sequencing). Third, environmental drivers of incidence (soil moisture, temperature microclimate, soil texture, and host nutritional status) were not measured concurrently with disease surveys; integrating those measurements into future epidemiological studies will test the hypotheses proposed here about habitat-driven differences in disease incidence. Finally, assessment of potential inoculum sources and transmission pathways (e.g., seedborne contamination, infested crop residues, or alternate hosts) is necessary to design effective prevention and containment strategies.

From an applied perspective, our findings indicate that B. sorokiniana represents a novel root pathogen of wild orchardgrass in this region and that several registered fungicides display in vitro activity. Immediate next steps should include (1) evaluating the efficacy and phytotoxicity of the most active fungicides under greenhouse and field conditions, (2) quantifying isolate diversity and potential fungicide-resistance alleles, (3) surveying adjacent cereal and pasture crops for cross-infection risk, and (4) testing cultural measures (e.g., irrigation management, residue removal, crop rotation or mixed-species sowing) that might reduce disease incidence in grassland settings.

5. Conclusions

This study documents, for the first time in Xinjiang, root rot disease of wild orchardgrass caused by B. sorokiniana. The pathogen was confirmed by combined morphological and multilocus molecular analyses and by fulfilling Koch’s postulates. Biological assays indicate that the isolate YM1 grows optimally at ~25 °C and neutral pH, prefers complex carbon and nitrogen sources (soluble starch and peptone), and shows greater radial growth in darkness. In vitro fungicide screening identified difenoconazole and tebuconazole as the most effective chemical inhibitors and highlighted tetramycin as a promising biological control candidate. These results provide foundational information for subsequent epidemiological studies and for the development of integrated disease-management strategies. Future work should expand geographic and genetic surveys, verify fungicide efficacy under field conditions, and explore cultural and biological control measures to mitigate disease risk in orchardgrass populations and to reduce potential spillover to agricultural crops.